csv

问题 I have 2 models Influencer and Category. Influencer has a many to many relationship with Category.The models look like this: class Category(models.Model): name = models.CharField(max_length=100) def __str__(self): return self.name and class Influencer(models.Model): full_name = models.CharField('Full Name',max_length=100) username = models.CharField('Username',max_length=100,unique=True) photo = models.ImageField(upload_to = 'photos/%Y/%m/%d/',blank=True) location_city = models.CharField(

问题 I'm looking to scrape this link, with just two simple pieces of information, but I don't know why I have this result and it can't give me all the data I search for: particulier_allinfo particulier_tel 0 ABEL KEVIN10 RUE VIRGILE67200 Strasbourg This is the code, thanks for your help : import bs4 as bs import urllib import urllib.request import requests from bs4 import BeautifulSoup import pandas from pandas import DataFrame import csv with open('test_bs_118000.csv', mode='w') as csv_file:

问题 I am using XLSX to parse data from an xlsx file. The problem is that when I try to get the data, the data is different depending on whether I read it in XLSX and CSV. I prefer to read it in CSV, since if I don't have to transform the dates according to the Excel format. I am trying to convert the XLSX file to CSV when the user uploads the file. The way I try is: const reader: FileReader = new FileReader(); reader.onload = (e: any) => { var binaryData = e.target.result; //Converting Binary

问题 I am using XLSX to parse data from an xlsx file. The problem is that when I try to get the data, the data is different depending on whether I read it in XLSX and CSV. I prefer to read it in CSV, since if I don't have to transform the dates according to the Excel format. I am trying to convert the XLSX file to CSV when the user uploads the file. The way I try is: const reader: FileReader = new FileReader(); reader.onload = (e: any) => { var binaryData = e.target.result; //Converting Binary

问题 I have a CSV (value, carbon, latitude, longitude) that I am trying to create a raster from. CSV file sample: Carbon Latitude Longitude coords.x1 coords.x2 1 385 36 74 36 74 2 463 36 74 36 74 3 35 36 74 36 74 4 38 36 74 36 74 5 34 36 74 36 74 6 11 36 74 36 74 7 46 36 74 36 74 8 18 36 74 36 74 9 213 36 74 36 74 10 619 36 74 36 74 11 140 36 74 36 74 12 40 36 74 36 74 13 42 36 74 36 74 14 18 36 74 36 74 15 277 36 74 36 74 16 641 36 74 36 74 17 416 36 74 36 74 18 459 36 74 36 74 19 1073 36 74 36

问题 I'm trying to download the csv file from this website: https://invasions.si.edu/nbicdb/arrivals?state=AL&submit=Search+database&begin=2000-01-01&end=2020-11-11&type=General+Cargo&bwms=any To do so, I need to click the CSV button, which downloads the CSV file. However, I need to do this for multiple links, which is why I want to use Selenium to automate the task of clicking on the link. The code I have currently runs, but it does not actually download the csv file to the designated folder (or

问题 I'm trying to download the csv file from this website: https://invasions.si.edu/nbicdb/arrivals?state=AL&submit=Search+database&begin=2000-01-01&end=2020-11-11&type=General+Cargo&bwms=any To do so, I need to click the CSV button, which downloads the CSV file. However, I need to do this for multiple links, which is why I want to use Selenium to automate the task of clicking on the link. The code I have currently runs, but it does not actually download the csv file to the designated folder (or

问题 I have a CSV file (parent child format). Is it possible to convert to JSON format by using JQ ? CSV file <pre> id parent_id text 1 NULL engine 2 1 exhaust 3 1 cooling 4 3 cooling fan 5 3 water pump 6 NULL frame 7 6 wheels 8 6 brakes 9 8 brake calipers 10 6 cables </Pre> JSON file <Pre> [ { "id": "1", "text": "engine", "children": [ { "id": "2", "text": "exhaust", "children": [] }, { "id": "3", "text": "cooling", "children": [ { "id": "4", "text": "cooling fan", "children": [] }, { "id": "5",

问题 My application needs to read like thousands of lines from a large csv file around 300GB with billion lines, each line contains several numbers. The data are like these: 1, 34, 56, 67, 678, 23462, ... 2, 3, 6, 8, 34, 5 23,547, 648, 34657 ... ... ... I tried fget reading file line by line in c, but it took really really really long, even with wc -l in linux, just to read all of the line, it took quite a while. I also tried to write all data to sqlite3 database based on the logics of the

问题 My application needs to read like thousands of lines from a large csv file around 300GB with billion lines, each line contains several numbers. The data are like these: 1, 34, 56, 67, 678, 23462, ... 2, 3, 6, 8, 34, 5 23,547, 648, 34657 ... ... ... I tried fget reading file line by line in c, but it took really really really long, even with wc -l in linux, just to read all of the line, it took quite a while. I also tried to write all data to sqlite3 database based on the logics of the